Data for "Deep learning approach for steep and flat corneal curvature prediction using fundus photography"
Version 1Corneal curvature is one of the important factors consisting of refractive errors and related to several pathological conditions of the cornea. Fundus photography is the widely used tool to examine the eyes in the current healthcare setting worldwide. The aim of this study is to develop a deep learning model based on fundus photography to predict corneal curvature by categorizing the steep, regular, and flat cornea groups. We analyzed the preoperative measurements of healthy participants withou
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Corneal curvature is one of the important factors consisting of refractive errors and related to several pathological conditions of the cornea. Fundus photography is the widely used tool to examine the eyes in the current healthcare setting worldwide. The aim of this study is to develop a deep learning model based on fundus photography to predict corneal curvature by categorizing the steep, regular, and flat cornea groups.
We analyzed the preoperative measurements of healthy participants withou